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Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method

机译:俄克拉荷马城的实时示踪色散模拟,使用当地网格精制格子Boltzmann方法

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摘要

We present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce uncertainties in the macroscale boundary conditions due to turbulence, which cannot be determined by the mesoscale model. The statistics of the plume-dispersion field, as well as mean and maximum concentrations, show that ensemble calculations improve the accuracy of the simulations. Factor-of-2 agreement is found between the ensemble-averaged concentrations based on the simulations over a 4.2 x 4.2 x 2.5 km(2) area with 2-m resolution with the plume-dispersion model and the observations.
机译:我们基于Lattice Boltzmann方法为逼真的城市地区提供基于合奏的大涡模拟。通过应用本地网格精炼方法,羽流分散模型可以在几公里上进行实时模拟。我们在7月16日使用天气研究和预测模型产生的现实Messcale速度边界条件,以及引入羽流模型的建筑物结构和植物冠层模型,评估俄克拉荷马城复杂城市环境中的羽毛色散问题。 。进行集合计算以减少由于湍流引起的宏观边界条件中的不确定性,这不能由Mescle模型确定。羽流分散场的统计数据以及均值和最大浓度,表明集合计算提高了模拟的准确性。基于4.2 x 4.2 x 2.5 km(2)区域的仿真与具有2米分辨率的模拟和观察结果,在集合平均浓度之间发现了2次协议。

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